Introduction
To enhance GoFood's in-app restaurant recommendations, we need to focus on creating a more personalized, efficient, and engaging user experience. This improvement will directly impact user satisfaction, order frequency, and ultimately, Gojek's market position in the food delivery space. I'll approach this challenge by analyzing user segments, identifying pain points, generating solutions, and proposing metrics to measure success.
Step 1
Clarifying Questions
Why it matters: Understanding retention helps us determine if we should focus on acquiring new users or retaining existing ones. Expected answer: Retention is slightly below industry average, with a 30-day retention rate of 25%. Impact on approach: Would prioritize features that encourage repeat usage and loyalty.
Why it matters: Helps identify areas where we can differentiate and improve. Expected answer: Users appreciate our local restaurant coverage but find recommendations less personalized than some competitors. Impact on approach: Would focus on enhancing personalization algorithms and expanding local partnerships.
Why it matters: Determines the current effectiveness of our recommendation system and potential for improvement. Expected answer: About 40% of orders come from recommendations, while 60% are from direct searches. Impact on approach: Would aim to increase the conversion rate from recommendations and improve their visibility.
Why it matters: Helps align our solution with broader company goals and identify potential synergies. Expected answer: 30% of GoFood users also use at least one other Gojek service monthly. Impact on approach: Would explore ways to integrate recommendations with other Gojek services for a more cohesive experience.
Tip
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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